What University of Lille- does

CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille) is a French public research laboratory designated UMR 9189, jointly operated by Université de Lille, CNRS, and Ecole Centrale Lille, with research collaboration from Inria. Founded in 2015 through the merger of predecessor units and celebrating its 10th anniversary in October 2025, the laboratory conducts fundamental and applied research in computer science, signal processing, and automatic control with approximately 600+ members, including permanent researchers, professors, research directors, doctoral students, and technical/administrative staff. It is organized into nine thematic research groups (MSV, Image, GL, ToPSyS, CO2, I2C, SISE, DatInG, OPTIMA) and seven transversal axes spanning cybersecurity, energy, AI, interactions & humanities, formal methods, digital health, robotics & cyber-physical systems, and transport & mobility.

Core research capabilities cover reinforcement learning, federated learning, neural networks, bandits problems, natural language processing, computer vision, neuromorphic computing, mathematical and combinatorial optimization, formal verification, robotics, and signal/imaging processing. Notable outputs include the Pharo software, recognized by the French Ministry of Higher Education's Prix Science Ouverte du Logiciel Libre de Recherche 2025, plus an active patent portfolio and steady peer-reviewed publication output. AI competencies are concentrated in the DatInG group's MAGNET (trusted ML), SCOOL (sequential decision making and RL), and SIGMA (signal processing) teams, and across the AI transversal axis spanning six data modalities.

CRIStAL operates as a non-profit public research unit without commercial revenue streams. Funding flows from institutional block grants of its parent institutions (CNRS, Université de Lille, Centrale Lille), competitive French and European research grants (ANR, H2020), and industrial valorization partnerships. Its primary served segments are doctoral students (through Graduate School MADIS), master's students (across Data Science, MIAGE, SMaRT, and related programs), and industry partners accessing research expertise, doctoral talent, and technology transfer. Research dissemination occurs via peer-reviewed publications, scientific conferences, doctoral training, and patent filings rather than commercial marketing channels; the laboratory is directed by Pr. Clarisse Dhaenens.

Name

University of Lille-

Legal name

CRIStAL – Centre de Recherche en Informatique, Signal et Automatique de Lille (UMR 9189 : Université de Lille – CNRS – Centrale Lille)

Website

https://cristal.univ-lille.fr

Company type

Public

Founded year

2015

Operating status

Operating

Headcount range

101–250 employees

Short description

CRIStAL (UMR 9189) is a French public research laboratory jointly operated by Université de Lille, CNRS, and Centrale Lille, conducting fundamental and applied research in computer science, signal processing, and automatic control, serving doctoral students, researchers, and industry partners.

Ownership category

akta.pro rank

Headquarters

HQ city

Villeneuve d'Ascq

HQ country

France

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure, Others

Revenue model

1. Public Research Funding: CRIStAL operates as UMR 9189, jointly funded by University of Lille, CNRS (French National Center for Scientific Research), and Ecole Centrale Lille. Funding comes from government research grants, institutional allocations, and competitive research project funding.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

CRIStAL is a French public research laboratory (Unité Mixte de Recherche UMR 9189) jointly operated by Université de Lille, CNRS, and Centrale Lille that conducts fundamental and applied research in computer science, signal processing, and automatic control. It delivers research outcomes through nine thematic groups and seven transversal axes spanning AI, optimization, formal methods, cybersecurity, robotics, signal processing, and transport systems, alongside doctoral and master's degree training through Graduate School MADIS. Its primary outputs are scientific publications, open-source software, patents, trained doctoral researchers, and industrial valorization collaborations.

Product overview

CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille) is UMR 9189, a joint research unit of Université de Lille, CNRS, and Centrale Lille. The laboratory conducts fundamental and applied research in computer science, signal processing, and automatic control through multiple thematic research groups (MSV, Image, GL, ToPSyS, CO2, I2C, SISE, DatInG, OPTIMA) and eight transversal axes (Cybersecurity, Energy, AI, Interactions & Humanities, Formal Methods, Digital Health, Robotics & Cyber-Physical Systems, Transport & Mobility). The DatInG group focuses on data intelligence combining machine learning, data mining, and signal processing, while OPTIMA develops optimization algorithms for complex systems. CRIStAL also offers doctoral education through the MADIS Graduate School and various Masters programs. Research outputs include publications, software, and patents.

Differentiator

Problem solved

Functional benefit

Products and services

• Doctoral Studies through Graduate School MADIS
• Master's Programs in Computer Science
• Industrial Valorization and Technology Transfer Partnerships

Named customers1 record

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability17 records

Feature5 records

Partnerships

Five partnerships are on record, tiered core.

• CNRS (Centre National de la Recherche Scientifique)coreStrategic or Co-development PartnerCNRS is the primary institutional partner as co-funder of UMR 9189. CRIStAL operates as a joint research unit under CNRS supervision, benefiting from national research infrastructure and funding mechanisms.
• Université de LillecoreStrategic or Co-development PartnerUniversity of Lille is the main institutional host of CRIStAL as part of UMR 9189. The laboratory is embedded within the University's scientific campus and benefits from institutional support and student recruitment.
• Ecole Centrale LillecoreStrategic or Co-development PartnerEcole Centrale Lille is the third institutional partner in UMR 9189, contributing engineering expertise and research collaboration to the joint research unit.
• Inria (Institut national de recherche en informatique et en automatique)coreStrategic or Co-development PartnerInria collaborates with CRIStAL on research projects and PhD student supervision. Inria-funded PhD students require Inria Center Director signature for registration.
• Graduate School MADIScoreStrategic or Co-development PartnerGraduate School MADIS manages doctoral training for CRIStAL PhD students across Computer Science and AGITSI domains, directed by Pr. Ludovic Macaire.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• ETH Zurich AI Center: European research hub for AI and machine learning embedded in a top technical university. Directly comparable in scope (ML, CV, NLP, robotics, formal methods), academic mission, and PhD training model — though ETH's larger resources position it as a stronger global brand.
• Max Planck Institute for Informatics: Leading European computer science research institute in Saarbrücken, Germany, with comparable research portfolio in algorithms, machine learning, computer vision, and formal methods. Both are publicly funded fundamental research organizations operating at the frontier of CS/AI with doctoral training.
• INRIA: France's national research institute for digital science and technology. INRIA is a direct strategic partner of CRIStAL (Inria-funded PhD students co-supervised) and operates research centers across France conducting comparable AI, ML, formal methods, and robotics research with similar academic mission and CNRS-affiliated governance.
• LIG - Laboratoire d'Informatique de Grenoble: Another major French CNRS-affiliated computer science research lab (UMR 5217), jointly operated by Université Grenoble Alpes, CNRS, and Grenoble INP. Directly comparable in structure, scale, and research scope (AI, formal methods, HCI, signal processing), making it one of the closest French peers to CRIStAL.
• IRIT - Institut de Recherche en Informatique de Toulouse: UMR 5505 CNRS/Université de Toulouse research institute covering computer science, AI, signal processing, and robotics. Operates under the same French public research model as CRIStAL with comparable thematic group structure, doctoral training programs, and CNRS governance.
• LIRMM - Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier: UMR 5506 CNRS/Université de Montpellier computer science lab with strong overlap in AI, robotics, and microelectronics research. Shares the same French UMR governance model and has a similar mix of fundamental research and industry partnerships.

Broad incumbents

• Stanford AI Lab (SAIL): Stanford University's flagship AI research lab. Overlaps with CRIStAL on machine learning, computer vision, NLP, and robotics, but operates within a global top-tier university with significantly larger funding and industry ties.
• Carnegie Mellon University School of Computer Science: Top US computer science institution with strong overlap in AI, robotics, software engineering, and formal methods research. Comparable academic mission and research areas but at much larger scale and with deeper US industry ties.
• Microsoft Research: Global corporate research organization conducting fundamental research in AI, ML, systems, and HCI. While operating with vastly greater resources and an industrial mandate, it competes with CRIStAL for talent, conference presence, and publication impact in shared research domains.
• MIT CSAIL: The largest and most globally visible academic computer science research lab. Directly comparable research areas (AI, robotics, formal methods, cybersecurity, systems) but operates at substantially larger scale, with global brand recognition that CRIStAL does not match.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/university-of-lille

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about University of Lille-